Instructions to use schrum2/MarioDiffusion-GTE-multiple-negative0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-GTE-multiple-negative0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("schrum2/MarioDiffusion-GTE-multiple-negative0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download best_model_info.json from schrum2/MarioDiffusion-GTE-multiple-negative0: direct link, hf CLI and curl.
- Browser
- Download file 99 Bytes
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https://huggingface.co/schrum2/MarioDiffusion-GTE-multiple-negative0/resolve/main/best_model_info.json
- Command line
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hf download hf://schrum2/MarioDiffusion-GTE-multiple-negative0/best_model_info.json
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curl -L -o best_model_info.json https://huggingface.co/schrum2/MarioDiffusion-GTE-multiple-negative0/resolve/main/best_model_info.json
99 Bytes
| {"best_epoch": 355, "best_val_loss": 0.20822193349401155, "best_caption_score": 0.8326388888888886} |